Using Sentinel-5P TROPOMI Data for Air Quality Assessment in the City of Oran, Western Algeria

IF 2.2 4区 地球科学 Q3 ENVIRONMENTAL SCIENCES
Abdelhalim Bendib, Mohamed Lamine Boutrid
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Abstract

With economic development, the emergence of cities, and the growth of transportation, air quality has become a significant concern. This leads to ecological imbalance and threatens the health of millions of people. The city of Oran, due to its importance and economic growth in recent decades, is no exception. The primary objective of this study is to conduct a comprehensive analysis of pollutant trends for the period 2019–2022 and their relationships with surface temperatures. The data for four pollutants from Sentinel-5P, namely ozone (O3), carbon monoxide (CO), nitrogen dioxide (NO2), and sulfur dioxide (SO2), were obtained and processed using the Google Earth Engine (GEE) platform. Given the variability in emissions from year to year, the results from the Air Pollution Index (API) indicate a trend toward moderate to high pollutant concentrations (> 1.54e-2 mol/m2), with the city being the primary source of pollutants. In 2019, 61% of the study area was heavily polluted, with concentrations exceeding 1.54e-2 mol/m2. This percentage was 45% in 2020, 58% in 2021, and 44% in 2022, while concentrations below 1.54e-2 mol/m2 represented 15%, 26%, 17%, and 30%, respectively. Except for SO2 (> 40 µg/m3), the levels of NO2 (~ 10 µg/m3) and CO (< 4 mg/m3) align with the levels recommended by the World Health Organization (WHO). Furthermore, a comparison of the results with surface temperatures shows that, except for O3, no significant correlation exists. In the context of sustainable development, these findings represent a proactive strategy for understanding pollutant concentrations and formulating effective policies to improve air quality in the city of Oran.

Abstract Image

利用哨兵-5P TROPOMI 数据评估阿尔及利亚西部奥兰市的空气质量
随着经济的发展、城市的兴起和交通的增长,空气质量已成为一个重大问题。这导致生态失衡,威胁着数百万人的健康。奥兰市由于其重要性和近几十年的经济增长也不例外。本研究的主要目的是全面分析 2019-2022 年期间的污染物趋势及其与地表温度的关系。本研究利用谷歌地球引擎(GEE)平台获取并处理了来自哨兵-5P 的四种污染物数据,即臭氧(O3)、一氧化碳(CO)、二氧化氮(NO2)和二氧化硫(SO2)。考虑到每年排放量的变化,空气污染指数(API)的结果显示污染物浓度呈中高水平(> 1.54e-2 mol/m2)的趋势,城市是主要的污染物来源。2019 年,61% 的研究区域为重度污染,浓度超过 1.54e-2 mol/m2。2020 年这一比例为 45%,2021 年为 58%,2022 年为 44%,而浓度低于 1.54e-2 mol/m2 的比例分别为 15%、26%、17% 和 30%。除二氧化硫(40 微克/立方米)外,二氧化氮(约 10 微克/立方米)和一氧化碳(4 毫克/立方米)的水平均符合世界卫生组织(WHO)的建议水平。此外,与地表温度的比较结果表明,除 O3 外,两者之间不存在明显的相关性。在可持续发展的背景下,这些研究结果是了解污染物浓度和制定有效政策以改善奥兰市空气质量的积极策略。
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来源期刊
Journal of the Indian Society of Remote Sensing
Journal of the Indian Society of Remote Sensing ENVIRONMENTAL SCIENCES-REMOTE SENSING
CiteScore
4.80
自引率
8.00%
发文量
163
审稿时长
7 months
期刊介绍: The aims and scope of the Journal of the Indian Society of Remote Sensing are to help towards advancement, dissemination and application of the knowledge of Remote Sensing technology, which is deemed to include photo interpretation, photogrammetry, aerial photography, image processing, and other related technologies in the field of survey, planning and management of natural resources and other areas of application where the technology is considered to be appropriate, to promote interaction among all persons, bodies, institutions (private and/or state-owned) and industries interested in achieving advancement, dissemination and application of the technology, to encourage and undertake research in remote sensing and related technologies and to undertake and execute all acts which shall promote all or any of the aims and objectives of the Indian Society of Remote Sensing.
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